Senior Manager, Data & Measurement

APLYD helps governments, multilateral institutions, development finance institutions and foundations use AI in public systems. Most public-sector AI stops at the pilot. Our work is getting it into everyday service delivery and keeping it running once we leave.

Athena Infonomics has done this work for years. In 2026 we set it up as its own company. We cover strategy and readiness, field data and last-mile reach, design and build, evaluation and audit, and scale and production.

440+ engagements  ·  240+ global clients  ·  85+ specialists  ·  7 countries  ·  5 continents

1.    Design the data architecture on our engagements. Which warehouse or lakehouse pattern, how the model layer is structured, how government data gets in and gets reconciled. You will rarely start from a blank page. Most institutions already have infrastructure, a procurement rulebook and a schema someone chose eight years ago, and your design has to survive all three.

2.    Decide what gets measured before anything ships. Baselines, indicators, and performance reported by subgroup rather than as one headline number.

3.    Watch systems once they are live. Drift, override rates, users abandoning the tool. Raise it with the programme lead before the client raises it with you.

4.    Build the dashboards officials open on their own. If a counterpart is not using it in their own review meeting three months later, it did not work.

5.    Keep the data trustworthy and the paperwork honest: validation, reconciliation against government systems, access control, privacy and consent handling, and lineage records that hold up in an audit.

6.    Write the briefs. Two pages a senior official can act on when you are not there to explain them.

7.    Turn what you learn into reference architectures and indicator definitions the next engagement can start from.

8.    Mentor the analysts and set the standard they work to.

•    10+ years in data engineering, analytics or programme measurement. At least three of those working with a ministry, state department or national programme.

•    Enough architecture depth to choose between warehouse and lakehouse patterns, specify the design, and tell when a vendor is selling you something expensive. You do not have to have built one single-handed.

•    SQL and Python at production standard. One cloud data platform you have owned end to end, plus orchestration and transformation tooling.

•    An indicator framework you designed that a government adopted. Proposed does not count.

•    You can sit in front of senior decision-makers and defend a number when they push back.

•    A warehouse or lakehouse you designed or led the build of that went into production.

•    Monitoring machine learning systems once they are running.

•    More than one sector behind you.

•    Consent, privacy and data protection practice for public data in India.

•    Reporting into multilateral or development finance institution requirements.

•    This position requires successful completion of a reference check and employment verification.

•    The successful candidate must not be subject to employment restrictions from a former employer, such as a non-compete, that would prevent performance of the responsibilities described.

•    Candidates must declare any current or recent engagement with a government, multilateral or development finance institution that could present a conflict of interest.

At APLYD, we function in an outcomes-based work environment with flexible hours and a high level of autonomy. Professional development and thought leadership are key elements of our business model: we support our team members’ professional growth through on-the-job training, and we encourage the cultivation of our colleagues’ personal brands through participation in panels, events, publications, and other thought-leadership opportunities. We embrace a transparent, open work environment with meaningful leadership pathways for those with inventive ideas and initiatives.

APLYD is an Equal Opportunities Employer

APLYD, part of the Athena Infonomics group, is an equal opportunity employer with a commitment to diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Proficiency in the responsible and sophisticated use of AI is a mandatory requirement for all roles, across all levels and functions at APLYD and Athena Infonomics.